HRMS migration
Field-level mapping, validation, and rollback between HigherMe and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
HigherMe
Source
BambooHR
Destination
Compatibility
10 of 11
objects map 1:1 between HigherMe and BambooHR.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from HigherMe to BambooHR is a structural migration from a recruiting-only ATS into a full HRIS platform. HigherMe organizes data around job postings, applications, and location-level hiring events; BambooHR organizes data around the employee life cycle from hire through termination. The migration requires redirecting HigherMe's job-centric records (postings, candidates, applications, fit scores, interview events) into BambooHR's candidate and employee record model, where a job posting becomes a BambooHR job opening and a successful hire becomes an employee record with pre-populated fields from the candidate profile. Multi-location franchise data must be chunked by store identifier during export to avoid cross-location applicant contamination in the destination. Post-hire onboarding documents and I-9 records live in HigherMe HR Software, a separate product tier from the ATS, and are not accessible via the recruiting API — this boundary is flagged during scoping so the customer can plan parallel HR migration or accept manual re-documentation for new hires. BambooHR's pricing model shifts from HigherMe's per-location structure ($67/location/month) to a per-employee model ($10-$25/employee/month on Core through Elite), which affects total cost for multi-location operators with varying headcount per store. We deliver a written inventory of any active HigherMe workflows or screening score automations requiring rebuild in BambooHR's workflow builder.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a HigherMe object lands in BambooHR, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
HigherMe
Job Postings
BambooHR
Job Openings
1:1HigherMe job postings (title, description, location, screening questions, fit-score weighting, and job board distribution status) map to BambooHR Job Openings. Each posting's store location identifier maps to BambooHR's Location field on the job. Screening question types (single-choice, multi-choice, free-text) migrate as BambooHR custom fields on the applicant record. Fit-score weighting configuration is documented for manual setup in BambooHR since BambooHR does not have a native weighted screening score model.
HigherMe
Applications
BambooHR
Job Applications (Candidate)
1:1HigherMe applications (candidate contact details, availability windows, screening answers, fit-score output, application source channel, and submission timestamp) map to BambooHR Job Applications linked to the corresponding Job Opening. The application source (Indeed, Snagajob, direct) migrates as a custom field in BambooHR since it is not a native field on BambooHR applications. Fit-score value migrates as a custom numeric field for reference.
HigherMe
Candidates
BambooHR
Applicants
1:1HigherMe candidate records (name, email, phone, work authorization status, geographic distance from job location, WOTC questionnaire responses) map to BambooHR Applicants. Candidates with multiple applications across locations aggregate into separate Applicant records per job in BambooHR's model, preserving each application context. Work authorization and WOTC flags migrate as custom fields. International applicants flagged during scoping are noted for the customer to configure BambooHR's geographic screening rules before migration.
HigherMe
Locations / Stores
BambooHR
Locations
1:1HigherMe multi-location franchise configurations map to BambooHR Location records. Each store's address, manager assignment, and identifier are preserved. Tenant chunking is applied at export time: applicants are segmented by their originating location identifier to prevent cross-store contamination when importing into BambooHR's unified applicant pool. This requires a location inventory from the customer during scoping, which can extend discovery for chains with 50+ locations.
HigherMe
Interview Events
BambooHR
Job Application Status / Notes
lossyHigherMe interview scheduling, date/time, interviewer assignment, and interview type (phone, video, in-person) attach to the application record. BambooHR does not have a dedicated interview scheduling object in its ATS module; interview details migrate as notes or activity entries on the application record, and the customer configures BambooHR's hiring pipeline stages to reflect the interview workflow. We recommend mapping HigherMe interview stages to BambooHR application status values during configuration.
HigherMe
Manager Notes and Feedback
BambooHR
Notes
1:1HigherMe manager notes and structured feedback attached to applications migrate as Note records linked to the corresponding BambooHR applicant. Author and timestamp are preserved. Multi-author notes maintain individual attribution. This mapping applies to free-text feedback; structured scorecards requiring specific field mapping are noted for custom field creation in BambooHR.
HigherMe
Video Cover Letters (URLs)
BambooHR
Custom URL Field
1:1HigherMe stores 30-second video cover letters as hosted media URLs rather than downloadable video files. We preserve the URL reference and metadata (duration, upload timestamp) in a custom link field on the BambooHR applicant record. BambooHR does not natively host or embed video; candidates may need to re-record if the hiring team requires in-platform playback. We flag this before migration day so the customer can configure a video hosting alternative (YouTube unlisted link, for example) or adjust expectations.
HigherMe
WOTC Records
BambooHR
Custom Fields on Employee / Applicant
1:1WOTC eligibility questionnaire responses and eligibility flags attach to the HigherMe candidate record. We preserve the questionnaire answers and eligibility flag as custom fields on the BambooHR applicant or employee record. Note that WOTC eligibility is US-specific and BambooHR handles WOTC via its compliance module; we document the WOTC field mapping so the customer's BambooHR admin can route the data appropriately. This mapping applies only to candidates in the active hiring pipeline at migration time.
HigherMe
Fit Scores
BambooHR
Custom Numeric Field
1:1HigherMe fit scores (0–100, calculated per application from availability match, distance from location, and screening question responses) migrate as a custom numeric field on the BambooHR applicant record. BambooHR has no native fit-score calculation engine; the score migrates as a reference value for hiring managers to use during manual evaluation. We document the score composition during scoping so the customer's BambooHR admin can determine whether to rebuild a scoring workflow in BambooHR's workflow builder.
HigherMe
Background Checks
BambooHR
Not Migrated
1:1Background check results are handled by HigherMe's integration partners (First Advantage) and are not stored as readable records in the ATS API. Candidates with completed background checks will need to initiate a new check in BambooHR's E-Verify and I-9 workflow. We document this boundary in the migration scope and recommend coordinating re-check timing to avoid processing delays for active hires.
HigherMe
Onboarding Documents
BambooHR
Not Migrated
1:1Post-hire onboarding documents, I-9 forms, and new-hire paperwork live in HigherMe HR Software, a separate product tier from the ATS. These records are not accessible via the recruiting API and fall outside the ATS migration scope. We flag this boundary upfront: if the customer needs onboarding continuity, they should plan a parallel HR migration or accept manual re-documentation for new hires. Active employees at migration time who were hired through HigherMe will have their onboarding data in HigherMe HR Software, which requires a separate export or migration engagement.
| HigherMe | BambooHR | Compatibility | |
|---|---|---|---|
| Job Postings | Job Openings1:1 | Fully supported | |
| Applications | Job Applications (Candidate)1:1 | Fully supported | |
| Candidates | Applicants1:1 | Fully supported | |
| Locations / Stores | Locations1:1 | Fully supported | |
| Interview Events | Job Application Status / Noteslossy | Fully supported | |
| Manager Notes and Feedback | Notes1:1 | Fully supported | |
| Video Cover Letters (URLs) | Custom URL Field1:1 | Fully supported | |
| WOTC Records | Custom Fields on Employee / Applicant1:1 | Mapping required | |
| Fit Scores | Custom Numeric Field1:1 | Mapping required | |
| Background Checks | Not Migrated1:1 | Not supported | |
| Onboarding Documents | Not Migrated1:1 | Not supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
HigherMe gotchas
Onboarding data lives outside the ATS scope
Video application blobs are hosted URLs, not transferable files
Background checks are third-party managed and inaccessible
International applicants require manual filtering or auto-reject configuration
Multi-location data requires tenant-aware chunking
BambooHR gotchas
Undocumented API rate limits can trigger 503 errors
Per-employee pricing model requires active record count verification
API credentials must be sent on every request to avoid extra round trips
Custom field schema varies per account and requires manual inventory
Document and attachment exports are not covered by standard report exports
Pair-specific challenges
Migration approach
Discovery and location inventory
We audit the source HigherMe tenant across job postings, application volume, candidate records, screening question configurations, fit-score settings, interview event records, and location count. We pair this with a BambooHR environment review to confirm the ATS module is active, identify existing job opening structure, and inventory custom fields already in use. For franchise customers, we require a complete location inventory (store identifier, address, manager per location) before export design begins so that tenant chunking is correctly scoped.
Data export with location chunking
We extract HigherMe data in location-segmented batches using the ATS API, applying the store identifier as the primary partition key. Applications, candidates, interview events, and notes are extracted per location to prevent cross-store contamination. We validate record counts per location against the customer's inventory before proceeding to the transform phase. Any candidates flagged as international applicants during scoping receive a migration flag for the customer to handle in BambooHR before cutover.
Schema mapping and BambooHR configuration
We map HigherMe job postings to BambooHR Job Openings, applications to BambooHR Job Applications, and candidates to BambooHR Applicants. Custom fields are pre-created in BambooHR for fit-score values, WOTC flags, video cover letter URLs, and any application source channels that are not native BambooHR fields. We configure BambooHR's hiring pipeline stages to approximate the HigherMe application status workflow, with interview event stages mapped to BambooHR application status values.
Sandbox validation and reconciliation
We run a full migration into a BambooHR sandbox environment using production-like data volume from the largest location. The customer's HR lead reconciles record counts (Job Openings in, Applicants in, Notes in), spot-checks 20-30 records against the HigherMe source for field accuracy, and validates that multi-location applicant data landed in the correct BambooHR location. Any field mapping corrections, custom field gaps, or pipeline stage adjustments are resolved here before production migration begins.
Production migration in dependency order
We run production migration in record order: Locations (from HigherMe store identifiers), Job Openings (from HigherMe job postings), then Applicants (with Job Opening lookups resolved, location chunking applied, and custom fields populated including fit-score and video URL). Notes and interview event details migrate as activity entries on the applicant record. Each phase emits a row-count reconciliation report before the next phase begins. Background checks and onboarding documents are explicitly excluded per the migration scope.
Cutover, validation, and workflow rebuild handoff
We freeze HigherMe access to new applications during cutover, run a final delta migration of any records modified during the migration window, then enable BambooHR as the system of record for recruiting. We deliver a written inventory of any active HigherMe screening score configurations or workflow automations requiring rebuild in BambooHR's workflow builder. We support a five-business-day hypercare window for reconciliation issues. We do not rebuild automations as code; that is a separate engagement for the customer's BambooHR admin or implementation partner.
Platform deep dives
HigherMe
Source
Strengths
Weaknesses
BambooHR
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. All 7 core objects map 1:1 between HigherMe and BambooHR.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across HigherMe and BambooHR.
Object compatibility
All 7 core objects map 1:1 between HigherMe and BambooHR.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
HigherMe: Not publicly documented.
Data volume sensitivity
HigherMe doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
Answers to the questions buyers ask most during HigherMe to BambooHR migration scoping. Not seeing yours? Book a call.
Walk through your HigherMe to BambooHR migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave HigherMe
Other ways to arrive at BambooHR
Ready when you are
Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.